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Description
Amazon Lex is a service designed for creating conversational interfaces in various applications through both voice and text input. It incorporates advanced deep learning technologies, such as automatic speech recognition (ASR) for transforming spoken words into text, along with natural language understanding (NLU) that discerns the intended meaning behind the text, facilitating the development of applications that offer immersive user experiences and realistic conversational exchanges. By utilizing the same deep learning capabilities that power Amazon Alexa, Amazon Lex empowers developers to efficiently craft complex, natural language-based chatbots. With its capabilities, you can design bots that enhance productivity in contact centers, streamline straightforward tasks, and promote operational efficiency throughout the organization. Furthermore, as a fully managed service, Amazon Lex automatically scales to meet demand, freeing you from the complexities of infrastructure management and allowing you to focus on innovation. This seamless integration of capabilities makes Amazon Lex an attractive option for developers looking to enhance user interaction.
Description
As artificial intelligence becomes increasingly advanced, its presence in our daily lives is on the rise. What once belonged to the realm of science fiction has seamlessly transitioned into our reality. We now experience the convenience of voice assistants integrated into various devices, including smartphones, vehicles, and home entertainment systems. It was inevitable that businesses would harness these technologies for enhancing customer service. Currently, organizations across diverse sectors such as healthcare, tourism, and finance are transforming their customer service approaches through the implementation of chatbots and voice assistants. Although chatbot technology is progressing rapidly and is widely adopted to boost customer satisfaction while alleviating employees from monotonous tasks, significant challenges still remain. It is crucial for organizations employing voice assistants and chatbot solutions to be aware of these limitations in order to fully leverage their potential. By addressing these challenges, companies can optimize their customer interactions and improve overall service efficiency.
API Access
Has API
API Access
Has API
Integrations
AWS AI Services
AWS App Mesh
AWS Lambda
Amazon CloudWatch
Amazon DynamoDB
Amazon Web Services (AWS)
Axon Ivy
Elastic Path
Facebook Messenger
HubSpot CRM
Integrations
AWS AI Services
AWS App Mesh
AWS Lambda
Amazon CloudWatch
Amazon DynamoDB
Amazon Web Services (AWS)
Axon Ivy
Elastic Path
Facebook Messenger
HubSpot CRM
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
€49 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/lex/
Vendor Details
Company Name
Onlim
Founded
2015
Country
Austria
Website
onlim.com/chatbots-und-sprachassistenten-im-kundenservice/
Product Features
Chatbot
Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration
Conversational AI
Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant
Natural Language Generation
Business Intelligence
CRM Data Analysis and Reports
Chatbot
Email Marketing
Financial Reporting
Multiple Language Support
SEO
Web Content
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization
Product Features
Chatbot
Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration
Conversational AI
Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant